CondPoisProcess: Conditional Poisson process
In MartinRoth/potreg: Regional Peaks-Over-Threshold Analysis
Description
This is based on Lang, Ouarda, and Bobee (1999): Towards operational guidelines for over-threshold modeling under the hood it's the binomial distribution
Confidence limits of the Poisson process conditional on the total number of excesses
Usage
1
2
3
pCondPoisProcess(k, t, T0, N)
qCondPoisProcess(p, t, T0, N)
Arguments
k
quantile
t, T0
current and total time
N
Total number of excesses
p
probability
MartinRoth/potreg documentation built on May 7, 2019, 3:40 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
This is based on Lang, Ouarda, and Bobee (1999): Towards operational guidelines for over-threshold modeling under the hood it's the binomial distribution Confidence limits of the Poisson process conditional on the total number of excesses
Usage
1 2 3 | pCondPoisProcess(k, t, T0, N)
qCondPoisProcess(p, t, T0, N)
|
Arguments
k |
quantile |
t, T0 |
current and total time |
N |
Total number of excesses |
p |
probability |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.